I am a data analyst with end-to-end production experience building analytics solutions on SQL, Snowflake, dbt, Airflow, and Airbyte. I focus on turning raw data into reliable reporting, automated pipelines, and decision-ready insights.

My background includes product analytics, cohort analysis, A/B testing, predictive modeling, and stakeholder collaboration. I enjoy working across the full analytics stack, from data modeling and validation to dashboard delivery and executive reporting.

In my recent consulting work, I built subscriber analytics pipelines, retention models, and Power BI dashboards that helped surface churn drivers and revenue trends. I have also supported ad hoc analysis and data quality validation to keep business-critical reporting accurate.

I am comfortable working with SQL, Python, Tableau, Power BI, Looker, Excel, and Google Sheets, and I regularly use tools such as Docker, Git, and GitHub in analytics workflows. I also have experience with dimensional modeling, ETL/ELT design, and data governance practices.

Earlier, I worked in VFX pipeline analysis and production support, where I analyzed compute costs and production datasets across multiple major projects. That experience strengthened my ability to communicate clearly, work under deadlines, and improve processes through data.

I am interested in roles where I can combine analytics engineering, business intelligence, and product analytics to help teams make better decisions. I value clean data, practical storytelling, and building systems that scale.